Dynamic Multitarget Assignment Based on Deep Reinforcement Learning

Dynamic Multitarget Assignment Based on Deep Reinforcement Learning

Dynamic multi-target assignment is a key technology that needs to be supported in order to improve the strike effectiveness during the coordinated attack of the missile swarm, and it is of great significance for improving the intelligence level of the new generation of strike weapon groups. Changes...

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Bibliographic Details
Main Authors:	Yifei Wu, Yonglin Lei, Zhi Zhu, Xiaochen Yang, Qun Li
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Access
Subjects:	Deep reinforcement learning combat simulation intelligent decision-making multi-target assignment
Online Access:	https://ieeexplore.ieee.org/document/9829738/

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